Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis

Latorre, Roberto; Ortiz, Francisco de Borja Rodríguez; Varona, Pablo

doi:10.1007/3-540-46084-5_27

Cited by 15 publications

(13 citation statements)

References 9 publications

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“…The signatures depend both on the particular settings of the individual neurons and on the topology of connections, but this topology is the final shaper of the neural signatures. The results reported in this section can be reproduced with other neuron models and network architectures [13,14]. In general, the presence of slow chemical connections produced a more precise ISI return plot than those corresponding to the circuits without the slow synapses.…”

Section: Signatures Are Shaped By the Network Connectionssupporting

confidence: 63%

“…In this paper we review some of our modeling work about the origin of the neural signatures and their role in implementing multiple codes in spiking-bursting activity [13,14,15,16,17].…”

Section: Bursts As Unitary Eventsmentioning

confidence: 99%

“…With these two circuits we will be able to analyze the dependence of the spiking behavior on the architecture of connections. In the AB-PD1-PD2 subnetwork (often called the pacemaker group), the neurons are electrically coupled with symmetric connections [13]. As a consequence, the subthreshold membrane potentials of these neurons are synchronized.…”

Section: Network Modelsmentioning

confidence: 99%

“…The AB is tuned into a regular spiking-bursting behav-ior. We have chosen a chaotic spiking regime for the PY and one of the PD neurons, while the second PD and the LP are set into a chaotic spiking-bursting behavior (for details see [13,14]). When we connect the neurons in the circuits specified above, a characteristic triphasic rhythm arises independently of the mode of activity in isolation and the particular connection topology used in the network.…”

Section: Signatures Are Shaped By the Network Connectionsmentioning

confidence: 99%

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Origin and role of neural signatures in bursting neurons

Latorre¹,

Rodrı́guez²,

Varona³

2007

AIP Conference Proceedings

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Abstract.A traditional view in neuroscience is that information arriving through one channel, i.e. a synapse, is encoded through a single code in the signal, e.g., the rate or the precise timing of the incoming events. However, not all the neural readers have to be interested in the same aspect of a common input signal, especially in multifunctional networks that can take advantage of several simultaneous codes. Multiple codes can be used to discriminate or contextualize certain inputs, even in single neurons. Dynamical mechanisms can add to the existing hard-wired connectivity for this task. Recent experiments have revealed the existence of neural signatures in the activity of bursting cells of invertebrate central pattern generators. These signatures consist of cell-specific spike timings in the bursting activity of the neurons. The signatures coexist with the information encoded in the frequency and/or phase relationships of the slow waves. The functional role of these neural fingerprints is still unclear. Based on experiments and using conductance-based models, we discuss the origin and the role of neural signatures as a part of a multicoding strategy for single cells in different types of neural circuits.

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Section: Signatures Are Shaped By the Network Connectionssupporting

confidence: 63%

“…In this paper we review some of our modeling work about the origin of the neural signatures and their role in implementing multiple codes in spiking-bursting activity [13,14,15,16,17].…”

Section: Bursts As Unitary Eventsmentioning

confidence: 99%

Section: Network Modelsmentioning

confidence: 99%

Section: Signatures Are Shaped By the Network Connectionsmentioning

confidence: 99%

See 2 more Smart Citations

Origin and role of neural signatures in bursting neurons

Latorre¹,

Rodrı́guez²,

Varona³

2007

AIP Conference Proceedings

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“…These signatures consist of a cell-specific interspike interval (ISI) distribution. The origin of these signatures has been studied using model networks [9,10,11]. In these models the synaptic configuration of the network is the main factor shaping the signatures, although the intrinsic dynamics of each cell can also contribute to the specific ISI distributions.…”

Section: Introductionmentioning

confidence: 99%

Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons

Baroni

Torres

Varona

2005

Lecture Notes in Computer Science

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Abstract.We have explored the role of the interaction of slow and fast intracellular dynamics in generating precise spiking-bursting activity in a model of the heartbeat central pattern generator of the leech. In particular we study the effect of calcium-dependent currents on the neural signatures generated in the circuit. These neural signatures are cell-specific interspike intervals in the spiking-bursting activity of each neuron. Our results show that the slow dynamics of intracelullar calcium concentration can regulate the precision and shape of the neural signatures.

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